Machine Learning for Causal Inference

R ile genetik algoritmalar ve optimizasyon uygulamaları

Machine Learning A Practical Approach on the Statistical Learning Theory

Fundamentals of Probability and Stochastic Processes with Applications to Communications

Probabilistic Cellular Automata Theory, Applications and Future Perspectives

Computing with Data An Introduction to the Data Industry

Data literacy : how to make your experiments robust and reproducible

How to Tell the Liars from the Statisticians

Systemic Aspects of Innovation and Design The perspective of collaborative networks

Between Certainty and Uncertainty Statistics and Probability in Five Units with Notes on Historical Origins and Illustrative Numerical Examples

Community Structure of Complex Networks

Applied Multidimensional Scaling